most citedGenerative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG2026

Edit Discovery in Human-AI Interactions

Alireza Mirrokni, Shayan Kiyani, George Pappas +1

Human-AI interactions are becoming a rich source of data for improving AI systems: while many model responses are already satisfactory, others expose failures that could become val…

cs.CV2026

Causal Attribution via Activation Patching

Amirmohammad Izadi, Mohammadali Banayeeanzade, Alireza Mirrokni +4

Attribution methods for Vision Transformers (ViTs) aim to identify image regions that influence model predictions, but producing faithful and well-localized attributions remains ch…

cs.CV2026

Eye-Q: A Multilingual Benchmark for Visual Word Puzzle Solving and Image-to-Phrase Reasoning

Ali Najar, Alireza Mirrokni, Arshia Izadyari +5

Vision-Language Models (VLMs) have achieved strong performance on standard vision-language benchmarks, yet often rely on surface-level recognition rather than deeper reasoning. We…

cs.LG2025

Hydra: Dual Exponentiated Memory for Multivariate Time Series Analysis

Asal Meskin, Alireza Mirrokni, Ali Najar +1

In recent years, effectively modeling multivariate time series has gained significant popularity, mainly due to its wide range of applications, ranging from healthcare to financial…

cs.CV2025★ 1 cited

Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions

Mohammad Mahdi Abootorabi, Omid Ghahroodi, Pardis Sadat Zahraei +17

Generative AI is reshaping art, gaming, and most notably animation. Recent breakthroughs in foundation and diffusion models have reduced the time and cost of producing animated con…